What is MLX?
Asked on 06/10/2025
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MLX is an open-source array framework specifically designed for Apple Silicon. It is a versatile tool that can be used for a range of tasks, from basic numerical computations to running large-scale machine learning models directly on Apple devices. MLX is optimized for Apple Silicon's unified memory architecture, allowing the CPU and GPU to share the same physical memory, which enhances performance and efficiency.
MLX supports a NumPy-like API and offers features such as just-in-time compilation, distributed training, and unified memory. It provides bindings for Python, Swift, C, and C++, making it accessible for developers using different programming languages. MLX is particularly useful for tasks like generating text with large language models, image generation, audio transcription, and more. It also allows for training and fine-tuning machine learning models directly on a Mac.
For more detailed information, you can refer to the session Get started with MLX for Apple silicon (00:00:00).
Get started with MLX for Apple silicon
MLX is a flexible and efficient array framework for numerical computing and machine learning on Apple silicon. We’ll explore fundamental features including unified memory, lazy computation, and function transformations. We’ll also look at more advanced techniques for building and accelerating machine learning models across Apple’s platforms using Swift and Python APIs.
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